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Record W4321512379 · doi:10.1386/jptv_00085_1

Disrupted and deranged: The formless and the abject in Twin Peaks: The Return

2022· article· en· W4321512379 on OpenAlexaff
Amanda M. E. Thomson, Andrew Thomson

Bibliographic record

VenueThe Journal of Popular Television · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMetaphorNarrativeHumanityAestheticsSociologyPsychologyPsychoanalysisLiteratureArtPhilosophy

Abstract

fetched live from OpenAlex

This article intends to explore the formlessness of the Woodsmen as unsettling characters in Twin Peaks: The Return (2017). Their lack of, or blurred, humanity and our misunderstanding of their origins, intentions and boundaries is disruptive enough to our senses that there exists a desire to abject them. It is through this abjection that we, as viewers of Twin Peaks (1990–91), experience a loss of self that permeates through the entirety of The Return . Yet, we return to watch the show, as we, as spectators, are drawn to that which confuses and repulses us. The Woodsmen serve as a metaphor for Season 3 in that they aid in our inability to interpret the show in the traditional sense of what a narrative is, could be or should be. Watching Twin Peaks: The Return is an unsettling experience, and the findings and connections drawn through this research serve as one – among many possible – explanations for this uncanniness, of our misunderstanding of a show that exists outside of traditional boundaries. Links will be drawn through this work of David Lynch and Mark Frost along with the theories and philosophies of Georges Bataille and Julia Kristeva, among others, with the intention of responding to the overarching question of why The Return was so difficult and unsettling to watch as viewers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.226
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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